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Modeling method and system for data analysis model

A technology of data analysis and modeling methods, applied in the field of data analysis and modeling, it can solve problems such as large differences, technical fragmentation, and low efficiency, and achieve the effect of improving efficiency and effectiveness and reducing modeling workload.

Pending Publication Date: 2021-04-09
国网新疆电力有限公司信息通信公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] However, this method will result in serious technology fragmentation, heavy modeling workload, slow speed, and low efficiency due to the large differences in the background knowledge and business skills of researchers, business personnel, product personnel, modelers, and model users. question

Method used

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  • Modeling method and system for data analysis model
  • Modeling method and system for data analysis model
  • Modeling method and system for data analysis model

Examples

Experimental program
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Effect test

Embodiment 1

[0029] see figure 1 , figure 1 A schematic diagram of the steps of a modeling method for a data analysis model provided by an embodiment of the present invention is as follows:

[0030] Step S100, obtaining the business requirements and data sets set by the user on the user interface;

[0031] Specifically, the user interface may be a data analysis modeling platform interface, and the data set may be the data set by the user in the input box of the "select data module" on the user interface for creating a time series prediction model.

[0032] In some implementations, the data analysis modeling platform may include a data storage layer, a data reporting layer, a data analysis layer, and a data presentation layer; data storage is designed to the concept of database and database language, and the basic structure and data type of data are queried through SQL Language, can be used to query from the common select, update modification, delete deletion, insert basic structure and r...

Embodiment 2

[0040] see figure 2 , figure 2 A schematic diagram of detailed steps of a modeling method for a data analysis model provided in an embodiment of the present invention, as follows:

[0041] Step S200, the user interface is used for the user to set and monitor the data set used to create the time series prediction model for business requirements;

[0042] Step S210, when it is heard that the selection operation is to drag and drop at least one function icon into the modeling aggregation analysis area on the data analysis modeling platform, connect each function icon in the modeling aggregation analysis area to obtain the modeling flow chart;

[0043] Step S220, first upload the data set required by the business to the IPFS cloud storage system for storage, then perform hash encryption on the data, and upload the hash characters to the block chain for storage;

[0044] Step S230, the analysis of simulation data is divided into multiple angles, including visual analysis of si...

Embodiment 3

[0059] see image 3 , image 3 A schematic diagram of a modeling system module of a data analysis model provided by an embodiment of the present invention is as follows:

[0060] An acquisition module 10, configured to acquire business requirements and data sets set by the user on the user interface;

[0061] The determining module 20 is used to determine the corresponding time series prediction scenario according to the data characteristics of the data set, and determine the target of the simulation data analysis according to the business requirement;

[0062] The analysis module 30 is configured to determine a modeling strategy through data characteristics and corresponding time series prediction scenarios, select at least one analysis angle for the target, and analyze the target through different angles;

[0063] The construction module 40 is used to construct a data analysis calculation model according to the modeling strategy and target analysis results.

[0064] It al...

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PUM

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Abstract

The invention provides a modeling method and system for a data analysis model, and relates to the field of data analysis modeling. The modeling method for the data analysis model comprises the following steps: obtaining a service demand and a data set set set by a user on a user interface; determining a corresponding time sequence prediction scene according to data characteristics of the data set, and determining a simulation data analysis target according to service requirements; determining a modeling strategy through the data characteristics and the corresponding time sequence prediction scene, selecting at least one analysis angle for the target, and analyzing the target through different angles; and constructing a data analysis and calculation model according to the modeling strategy and the target analysis result. Data visualization analysis modeling can be achieved, models generated by modeling are managed in a unified mode, the modeling workload is reduced, and the modeling efficiency and effectiveness are improved. In addition, the invention further provides the modeling system for the data analysis model. The modeling system comprises an acquisition module, a determination module, an analysis module and a construction module.

Description

technical field [0001] The present invention relates to the field of data analysis and modeling, in particular to a modeling method and system for a data analysis model. Background technique [0002] Data analysis and modeling is the basis of data mining applications. At present, data analysis and modeling requires researchers or business personnel to investigate customer pain points, product personnel to design solutions, and modelers to use their familiar modeling tools for data preprocessing, feature engineering, After the steps of modeling tuning, model selection and verification, the model is finally generated for users to use. [0003] However, this method will result in serious technology fragmentation, heavy modeling workload, slow speed, and low efficiency due to the large differences in the background knowledge and business skills of researchers, business personnel, product personnel, modelers, and model users. question. Therefore, how to conduct data analysis an...

Claims

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Application Information

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IPC IPC(8): G06Q10/06G06N3/08G06N3/04
CPCG06Q10/067G06N3/08G06N3/044G06N3/045
Inventor 刘杰王鑫胡红艳李光祖任丹马尧董晓梅艾科热木·艾则孜肖晗侯建明魏耀华
Owner 国网新疆电力有限公司信息通信公司
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